I Built an AI Movie Recommendation App to End Endless Scrolling

Source: Dev.to

The Problem

Choosing a movie today is harder than watching one. I wanted something simpler and smarter.

The Solution

I built What to Watch, an AI‑powered movie recommendation app. Instead of browsing for 30 minutes, you tell the app:

• how you feel
• what you’re in the mood for

The app does the rest.

What Makes It Different

• Mood‑based recommendations, not generic lists
• Learns from your behavior (likes, skips, favorites)
• Fast and focused UX — no clutter, no noise
• Designed for people who just want a good movie now

This isn’t another IMDb clone.

Tech Overview

• Android‑first architecture
• Lightweight AI logic optimized for speed
• Firebase‑backed analytics & learning loop
• Clean, minimal UI focused on intent → result
• No overengineering. Just what’s needed.

Why I’m Sharing This

I’m building in public and iterating fast.

If you’re:

• tired of scrolling
• curious about AI‑driven UX
• building mobile products yourself

I’d value your thoughts.

Try It

Google Play

What’s Next

• Smarter personalization
• Faster cold‑start recommendations
• iOS version if traction proves demand

Small steps. Real users. Real data.

Thanks

Thanks for reading. If you have feedback, be direct — that’s how products improve.